Artikel

Modelling artificial intelligence in economics

We provide a partial equilibrium model wherein AI provides abilities combined with human skills to provide an aggregate intermediate service good. We use the model to find that the extent of automation through AI will be greater if (a) the economy is relatively abundant in sophisticated programs and machine abilities compared to human skills; (b) the economy hosts a relatively large number of AI-providing firms and experts; and (c) the task-specific productivity of AI services is relatively high compared to the task-specific productivity of general labor and labor skills. We also illustrate that the contribution of AI to aggregate productive labor service depends not only on the amount of AI services available but on the endogenous number of automated tasks, the relative productivity of standard and IT-related labor, and the substitutability of tasks. These determinants also affect the income distribution between the two kinds of labor. We derive several empirical implications and identify possible future extensions.

Language
Englisch

Bibliographic citation
Journal: Journal for Labour Market Research ; ISSN: 2510-5027 ; Volume: 56 ; Year: 2022 ; Issue: 1 ; Pages: 1-13

Classification
Wirtschaft
Macroeconomics: Consumption; Saving; Wealth
Aggregate Factor Income Distribution
Human Capital; Skills; Occupational Choice; Labor Productivity
Technological Change: Choices and Consequences; Diffusion Processes
Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
Subject
Artificial intelligence
Automation
Labor economics
Mathematical models

Event
Geistige Schöpfung
(who)
Gries, Thomas
Naudé, Wim
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2022

DOI
doi:10.1186/s12651-022-00319-2
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Gries, Thomas
  • Naudé, Wim
  • Springer

Time of origin

  • 2022

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